Study on Accuracy Evaluation of MCD19A2 and Spatiotemporal Distribution of AOD in Arid Zones of Central Asia

Zhengnan Zhu, Zhe Zhang (), Fangqing Liu, Zewei Chen, Yuxin Ren and Qingfu Guo
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Zhengnan Zhu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Zhe Zhang: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Fangqing Liu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Zewei Chen: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Yuxin Ren: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Qingfu Guo: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

Sustainability, 2023, vol. 15, issue 18, 1-16

Abstract: The Central Asian arid zone is the largest non-territorial arid zone in the world, so it is particularly important to understand the optical properties of aerosols in this region. In this paper, we validate the MCD19A2 atmospheric aerosol optical depth (AOD) remote sensing data by using ground-based data and measured data. To explore the spatial and temporal changes in aerosols in the Central Asian arid zone as well as the interannual variations and seasonal variations, we characterize the spatial and temporal distributions of the AOD over 20 years. Finally, we analyze the spatial and temporal variations of the AOD in the Central Asian arid zone by using three methods, namely, the Theil–Sen median trend analysis combined with the Mann–Kendall test, coefficient of variation, and Hurst index; analyze the characteristics of the spatial and temporal variations of the AOD in the Central Asian arid zone; and explore the relationships among the AOD, wind speed, and NDVI. This study reveals the characteristics of the long-term changes in the aerosol optical properties in the Central Asian arid zone and provides a scientific basis for estimating the factors affecting climate change.

Keywords: aerosol; MCD19A2 validation; spatial and temporal variations (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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